High-Capacity Double-Layer Data Hiding Technique Based on 3D Magic Cube

Hao Yu Weng, Min Yi Tsai, Wei Jen Wang, Cheng Ta Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Information technology and the Internet have progressed rapidly in people’s lives, the privacy of information has become an important issue due to the accessibility of data. Therefore, to enhance information security and privacy protection, this paper proposes a new high-capacity method for data hiding. The proposed method is based on 3D magic cube with double layers embedding. In the field of data hiding, the reference matrix-based methods attract many researchers because of its high-capacity. Recently, as the needs of the high payloads of the stego-image, the multi-layers-based technique is applied to provide larger embedding capacity. However, the image after data embedding will cause serious distortions, especially on multi-layers embedding, hence, keeping the image at a good visual quality and achieving high-payloads are the main challenges for data hiding. In this scheme, we take advantage of 3D magic cube and 3D reference space with double layers embedding for our data hiding technique to improve the embedding payloads. The experimental results show that our method not only provides good embedding capacity (4.00 bpp) but also keeps the image at acceptable quality (In terms of PSNR > 30).

Original languageEnglish
Title of host publicationNew Trends in Computer Technologies and Applications - 25th International Computer Symposium, ICS 2022, Proceedings
EditorsSun-Yuan Hsieh, Ling-Ju Hung, Sheng-Lung Peng, Ralf Klasing, Chia-Wei Lee
PublisherSpringer Science and Business Media Deutschland GmbH
Pages670-678
Number of pages9
ISBN (Print)9789811995811
DOIs
StatePublished - 2022
Event25th International Computer Symposium on New Trends in Computer Technologies and Applications, ICS 2022 - Taoyuan, Taiwan
Duration: 15 Dec 202217 Dec 2022

Publication series

NameCommunications in Computer and Information Science
Volume1723 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference25th International Computer Symposium on New Trends in Computer Technologies and Applications, ICS 2022
Country/TerritoryTaiwan
CityTaoyuan
Period15/12/2217/12/22

Keywords

  • Data hiding
  • High capacity
  • Magic cube
  • Multi-layers embedding

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